World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
5995
World Ranking
10251
National Ranking
4302

Overview

Bhaskar DasGupta is affiliated with the University of Illinois at Chicago in the United States. Their research spans interdisciplinary areas combining medicine and computer science, focusing on computational and clinical challenges.

The main fields of study covered by DasGupta's work include Medicine and Computer Science. Their research delves into subfields such as Computational Theory and Mathematics, Rheumatology, Artificial Intelligence, Pathology and Forensic Medicine, and Genetics.

The scientist's research topics reflect a blend of medical and computational interests, including:

  • Topological and Geometric Data Analysis
  • Rheumatoid Arthritis Research and Therapies
  • Lymphoma Diagnosis and Treatment
  • 3D Shape Modeling and Analysis
  • Complexity and Algorithms in Graphs
  • Computational Geometry and Mesh Generation
  • Systemic Lupus Erythematosus Research

Recent publications demonstrate a breadth of collaborative and cross-disciplinary work. Notable papers include:

  • "Rituximab versus tocilizumab in rheumatoid arthritis: synovial biopsy-based biomarker analysis of the phase 4 R4RA randomized trial" (2022) published in Nature Medicine
  • "Rates and predictors of methotrexate-related adverse events in patients with early rheumatoid arthritis: results from a nationwide UK study" (2022) published in Lara D. Veeken
  • "Detecting network anomalies using Forman-Ricci curvature and a case study for human brain networks" (2021) published in Scientific Reports
  • "Maximizing Coverage While Ensuring Fairness: A Tale of Conflicting Objectives" (2022) published in Algorithmica
  • "Is the relationship between deprivation and outcomes in rheumatoid arthritis mediated by body mass index? A longitudinal cohort study" (2022) published in Lara D. Veeken

DasGupta frequently publishes in venues such as arXiv (Cornell University), Lara D. Veeken, Algorithmica, Nature Medicine, and Scientific Reports. These outlets reflect the interdisciplinary nature of their work spanning theoretical and applied domains.

Collaborations are a significant aspect of DasGupta's research. Frequent co-authors include Tanima Chatterjee, Anastasios Sidiropoulos, Kimme L Hyrich, Réka Albert, and Nazanin Azarhooshang. The repeated partnerships illustrate active engagement in collaborative research efforts.

Best Publications

  • The Stewart platform manipulator: a review

    Bhaskar Dasgupta;T.S. Mruthyunjaya

  • Closed-Form Dynamic Equations of the General Stewart Platform through the Newton–Euler Approach

    Bhaskar Dasgupta;T.S. Mruthyunjaya

  • A general strategy based on the Newton-Euler approach for the dynamic formulation of parallel manipulators

    Bhaskar Dasgupta;Prasun Choudhury

  • Force redundancy in parallel manipulators: Theoretical and practical issues

    Bhaskar Dasgupta;T.S. Mruthyunjaya

  • Design and development of a Stewart platform based force– torque sensor

    T.A. Dwarakanath;Bhaskar Dasgupta;T.S. Mruthyunjaya

  • Parking slot assignment games

    Daniel Ayala;Ouri Wolfson;Bo Xu;Bhaskar Dasgupta

  • On distances between phylogenetic trees

    B. DasGupta;X. He;T. Jiang;M. Li

  • Algorithmic and complexity results for decompositions of biological networks into monotone subsystems.

    Bhaskar DasGupta;Germán Andres Enciso;Eduardo D. Sontag;Yi Zhang

  • On computing the nearest neighbor interchange distance

    B. DasGupta;X. He;T. Jiang;Ming Li

  • The Power of Approximating: a Comparison of Activation Functions

    Bhaskar DasGupta;Georg Schnitger

  • Reconstructing sibling relationships in wild populations

    Tanya Y. Berger-Wolf;Saad I. Sheikh;Bhaskar DasGupta;Mary V. Ashley

  • Topological implications of negative curvature for biological and social networks.

    Réka Albert;Bhaskar DasGupta;Nasim Mobasheri

  • Randomized approximation algorithms for set multicover problems with applications to reverse engineering of protein and gene networks

    Piotr Berman;Bhaskar DasGupta;Eduardo Sontag

  • Multi-phase algorithms for throughput maximization for real-time scheduling

    Piotr Berman;Bhaskar Dasgupta

  • Pricing of parking for congestion reduction

    Daniel Ayala;Ouri Wolfson;Bo Xu;Bhaskar DasGupta

  • Motif discoveries in unaligned molecular sequences using self-organizing neural networks

    Derong Liu;Xiaoxu Xiong;B. DasGupta;Huaguang Zhang

  • Improvements in throughout maximization for real-time scheduling

    Piotr Berman;Bhaskar DasGupta

  • On the complexity of training neural networks with continuous activation functions

    B. DasGupta;H.T. Siegelmann;E. Sontag

  • On the complexity and approximation of syntenic distance

    Bhaskar DasGupta;Tao Jiang;Sampath Kannan;Ming Li

  • A novel method for signal transduction network inference from indirect experimental evidence.

    Réka Albert;Bhaskar DasGupta;Riccardo Dondi;Sema Kachalo

  • NET-SYNTHESIS

    Sema Kachalo;Ranran Zhang;Eduardo Sontag;Réka Albert

Frequent Co-Authors

Piotr Berman
Piotr Berman Boston University
Eduardo D. Sontag
Eduardo D. Sontag Northeastern University
Tanya Y. Berger-Wolf
Tanya Y. Berger-Wolf The Ohio State University
Haruki Nakamura
Haruki Nakamura Osaka University
Réka Albert
Réka Albert Pennsylvania State University
Marek Karpinski
Marek Karpinski University of Bonn
Wanpracha Art Chaovalitwongse
Wanpracha Art Chaovalitwongse University of Arkansas at Fayetteville
Ming-Yang Kao
Ming-Yang Kao Northwestern University
Tao Jiang
Tao Jiang University of California, Riverside
s muthukrishnan
s muthukrishnan Rutgers, The State University of New Jersey

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